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MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control., , , , , and . NeurIPS, (2022)TarGF: Learning Target Gradient Field for Object Rearrangement., , , and . CoRR, (2022)Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL., , , , and . CoRR, (2024)Proactive Multi-Camera Collaboration for 3D Human Pose Estimation., , , , and . ICLR, OpenReview.net, (2023)ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind., , , and . ICLR, OpenReview.net, (2022)Pose-Assisted Multi-Camera Collaboration for Active Object Tracking., , , , , and . AAAI, page 759-766. AAAI Press, (2020)RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking., , , , and . AAAI, page 3705-3714. AAAI Press, (2023)UnrealCV: Virtual Worlds for Computer Vision., , , , , , and . ACM Multimedia, page 1221-1224. ACM, (2017)AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking., , , , and . ICLR (Poster), OpenReview.net, (2019)Disentangling Disease-related Representation from Obscure for Disease Prediction., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22652-22664. PMLR, (2022)